As one of the world's leading digital transformation service providers, we are looking to expand our Data Practice across Europe to meet increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experienced
Data Science Consultant
to join our dynamic team.
The ideal candidate will have a strong background in data science, analytics, IT consulting, and experience in marketing-focused projects, preferably within a marketing agency or similar environment. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to bring expertise in marketing analytics and marketing-related data science use cases will be a critical asset.
Responsibilities
Support clients with the definition and implementation of their AI strategy, with a particular focus on marketing and customer insights. Implement and oversee AI governance frameworks, focusing on regulatory compliance, ethical AI principles, and ensuring business value from AI investments. Ideate, design, and implement AI-enabled marketing solutions such as customer segmentation models, recommendation systems, and campaign optimization algorithms. Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices. Monitor and manage model performance, including addressing issues related to explainability, data drift, and model drift. Develop and implement marketing measurement frameworks, including marketing mix modeling (MMM) and multi-touch attribution (MTA). Collaborate with marketing teams to leverage data for customer journey mapping, lifetime value prediction, and churn analysis. Engage with senior executives, effectively communicating AI opportunities, risks, and strategies in accessible terms, particularly in marketing and customer engagement contexts. Collaborate with legal teams to navigate AI regulatory risks, particularly in the context of the EU AI regulatory framework. Maintain up-to-date knowledge of industry trends, emerging technologies, and regulatory changes impacting AI/ML, particularly in the marketing domain. Support pre-sales activities including client presentations, demos, and RFP/RFI responses. Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Marketing Analytics, or a related field. Ph.D. is a plus. 2+ years of experience in data science, analytics, or related roles within the IT consulting, marketing agency, or digital marketing space. Strong communication skills, comfortable presenting to senior business leaders, particularly in marketing and customer engagement contexts. Deep understanding of LLMs, their strengths and limitations, and their application in marketing personalization, chatbots, and content generation. Proven experience in marketing-focused data science projects, such as customer segmentation, campaign performance analytics, and predictive modeling for marketing strategies. Familiarity with AI/ML tools and platforms commonly used in marketing data science, such as Tableau, Power BI, Google Analytics, HubSpot, or Salesforce Marketing Cloud. Strong understanding of ML Ops principles and experience in model deployment and management, particularly for marketing use cases. Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in marketing and sales. Expertise in identifying and mitigating bias in AI/ML models, especially in consumer-facing applications. Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow, Plotly Dash, and Streamlit. Experience with advertising platforms (e.g., Facebook Ads, Google Ads) and programmatic ad-buying strategies is a plus. Knowledge of marketing metrics, customer lifetime value (CLV), and return on investment (ROI) modeling. We offer
EPAM Employee Stock Purchase Plan (ESPP). Protection benefits including life assurance, income protection, and critical illness cover. Private medical insurance and dental care. Employee Assistance Program. Competitive group pension plan. Cyclescheme, Techscheme, and season ticket loans. Various perks such as free Wednesday lunch in-office, on-site massages, and regular social events. Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions, and much more. If otherwise eligible, participation in the discretionary annual bonus program. If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program. *All benefits and perks are subject to certain eligibility requirements.
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Data Science Consultant
to join our dynamic team.
The ideal candidate will have a strong background in data science, analytics, IT consulting, and experience in marketing-focused projects, preferably within a marketing agency or similar environment. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to bring expertise in marketing analytics and marketing-related data science use cases will be a critical asset.
Responsibilities
Support clients with the definition and implementation of their AI strategy, with a particular focus on marketing and customer insights. Implement and oversee AI governance frameworks, focusing on regulatory compliance, ethical AI principles, and ensuring business value from AI investments. Ideate, design, and implement AI-enabled marketing solutions such as customer segmentation models, recommendation systems, and campaign optimization algorithms. Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices. Monitor and manage model performance, including addressing issues related to explainability, data drift, and model drift. Develop and implement marketing measurement frameworks, including marketing mix modeling (MMM) and multi-touch attribution (MTA). Collaborate with marketing teams to leverage data for customer journey mapping, lifetime value prediction, and churn analysis. Engage with senior executives, effectively communicating AI opportunities, risks, and strategies in accessible terms, particularly in marketing and customer engagement contexts. Collaborate with legal teams to navigate AI regulatory risks, particularly in the context of the EU AI regulatory framework. Maintain up-to-date knowledge of industry trends, emerging technologies, and regulatory changes impacting AI/ML, particularly in the marketing domain. Support pre-sales activities including client presentations, demos, and RFP/RFI responses. Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Marketing Analytics, or a related field. Ph.D. is a plus. 2+ years of experience in data science, analytics, or related roles within the IT consulting, marketing agency, or digital marketing space. Strong communication skills, comfortable presenting to senior business leaders, particularly in marketing and customer engagement contexts. Deep understanding of LLMs, their strengths and limitations, and their application in marketing personalization, chatbots, and content generation. Proven experience in marketing-focused data science projects, such as customer segmentation, campaign performance analytics, and predictive modeling for marketing strategies. Familiarity with AI/ML tools and platforms commonly used in marketing data science, such as Tableau, Power BI, Google Analytics, HubSpot, or Salesforce Marketing Cloud. Strong understanding of ML Ops principles and experience in model deployment and management, particularly for marketing use cases. Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in marketing and sales. Expertise in identifying and mitigating bias in AI/ML models, especially in consumer-facing applications. Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow, Plotly Dash, and Streamlit. Experience with advertising platforms (e.g., Facebook Ads, Google Ads) and programmatic ad-buying strategies is a plus. Knowledge of marketing metrics, customer lifetime value (CLV), and return on investment (ROI) modeling. We offer
EPAM Employee Stock Purchase Plan (ESPP). Protection benefits including life assurance, income protection, and critical illness cover. Private medical insurance and dental care. Employee Assistance Program. Competitive group pension plan. Cyclescheme, Techscheme, and season ticket loans. Various perks such as free Wednesday lunch in-office, on-site massages, and regular social events. Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions, and much more. If otherwise eligible, participation in the discretionary annual bonus program. If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program. *All benefits and perks are subject to certain eligibility requirements.
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